6EI5

Estimation of relative drug-target residence times by random acceleration molecular dynamics simulation


Experimental Data Snapshot

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.20 Å
  • R-Value Free: 0.217 
  • R-Value Work: 0.189 
  • R-Value Observed: 0.191 

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Ligand Structure Quality Assessment 


This is version 1.2 of the entry. See complete history


Literature

Estimation of Drug-Target Residence Times by tau-Random Acceleration Molecular Dynamics Simulations.

Kokh, D.B.Amaral, M.Bomke, J.Gradler, U.Musil, D.Buchstaller, H.P.Dreyer, M.K.Frech, M.Lowinski, M.Vallee, F.Bianciotto, M.Rak, A.Wade, R.C.

(2018) J Chem Theory Comput 14: 3859-3869

  • DOI: https://doi.org/10.1021/acs.jctc.8b00230
  • Primary Citation of Related Structures:  
    5LO5, 5LO6, 6EI5, 6EL5, 6ELN, 6ELO, 6ELP, 6EY8, 6EY9, 6EYA, 6EYB, 6F1N

  • PubMed Abstract: 

    Drug-target residence time (τ), one of the main determinants of drug efficacy, remains highly challenging to predict computationally and, therefore, is usually not considered in the early stages of drug design. Here, we present an efficient computational method, τ-random acceleration molecular dynamics (τRAMD), for the ranking of drug candidates by their residence time and obtaining insights into ligand-target dissociation mechanisms. We assessed τRAMD on a data set of 70 diverse drug-like ligands of the N-terminal domain of HSP90α, a pharmaceutically important target with a highly flexible binding site, obtaining computed relative residence times with an accuracy of about 2.3τ for 78% of the compounds and less than 2.0τ within congeneric series. Analysis of dissociation trajectories reveals features that affect ligand unbinding rates, including transient polar interactions and steric hindrance. These results suggest that τRAMD will be widely applicable as a computationally efficient aid to improving drug residence times during lead optimization.


  • Organizational Affiliation

    Molecular and Cellular Modeling Group , Heidelberg Institute for Theoretical Studies , Heidelberg 69118 , Germany.


Macromolecules
Find similar proteins by:  (by identity cutoff)  |  3D Structure
Entity ID: 1
MoleculeChains Sequence LengthOrganismDetailsImage
Heat shock protein HSP 90-alpha209Homo sapiensMutation(s): 0 
Gene Names: HSP90AA1HSP90AHSPC1HSPCA
UniProt & NIH Common Fund Data Resources
Find proteins for P07900 (Homo sapiens)
Explore P07900 
Go to UniProtKB:  P07900
PHAROS:  P07900
GTEx:  ENSG00000080824 
Entity Groups  
Sequence Clusters30% Identity50% Identity70% Identity90% Identity95% Identity100% Identity
UniProt GroupP07900
Sequence Annotations
Expand
  • Reference Sequence
Small Molecules
Ligands 1 Unique
IDChains Name / Formula / InChI Key2D Diagram3D Interactions
B5Q
Query on B5Q

Download Ideal Coordinates CCD File 
B [auth A][2-azanyl-6-[2-(methylaminomethyl)phenyl]quinazolin-4-yl]-(1,3-dihydroisoindol-2-yl)methanone
C25 H23 N5 O
MNDBIURAICAMAU-UHFFFAOYSA-N
Binding Affinity Annotations 
IDSourceBinding Affinity
B5Q Binding MOAD:  6EI5 Kd: 3.83 (nM) from 1 assay(s)
Experimental Data & Validation

Experimental Data

  • Method: X-RAY DIFFRACTION
  • Resolution: 2.20 Å
  • R-Value Free: 0.217 
  • R-Value Work: 0.189 
  • R-Value Observed: 0.191 
  • Space Group: I 2 2 2
Unit Cell:
Length ( Å )Angle ( ˚ )
a = 66.23α = 90
b = 92.46β = 90
c = 98.97γ = 90
Software Package:
Software NamePurpose
XSCALEdata scaling
PHASERphasing
BUSTERrefinement
PDB_EXTRACTdata extraction
XDSdata processing

Structure Validation

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Ligand Structure Quality Assessment 


Entry History 

Deposition Data

Revision History  (Full details and data files)

  • Version 1.0: 2018-05-30
    Type: Initial release
  • Version 1.1: 2018-07-18
    Changes: Data collection, Database references
  • Version 1.2: 2019-10-16
    Changes: Data collection